scholarly journals Quantum Biophysics of the Atmosphere:Factor Analysis of the Annual Dynamics of Maximum, Mininum and Average Temperatures from 1879 to 2017 to Hadley English Temperature Center (Hadcet)

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Mazurkin Peter Matveevich
Keyword(s):  
Factor Analysis ◽  
Air Temperature ◽  
Meteorological Parameter ◽  
Dependent Measure ◽  
Maximum Temperature ◽  
Software Environment ◽  
Average Temperature ◽  
Average Annual Temperature ◽  
Dynamics Models ◽  
The Relationship

Factor analysis of annual dynamics from 1879 to 2017 was carried out by the method of identification of stable regularities: maximum, minimum and average air temperature of Central England according to HadCET. The sample capacity was 139 rows. In factor analysis, time is excluded, and it acts only as a system-forming factor that ensures the relationship between the three parameters of climate and weather. Therefore, the adequacy of the dynamics models is taken into account in the diagonal cells of the correlation matrix. In addition to time, different lists of objects are possible in factor analysis. The coefficient of correlation variation, that is, a measure of the functional relationship between the parameters of the system (annual weather at the weather station in Central England) is 0.8230 for trends, 0.8603 taking into account the annual dynamics of the four-membered model obtained from the computational capabilities of the software environment CurveExpert-1.40, and 0.9578 for the full up to the error of measurement wavelet analysis of the dynamics of the values of three factors. In all three methods of factor analysis, the meteorological parameter «average Annual temperature» was in the first place as the influencing variable, the «Maximum temperature» was in the second place, and the «Minimum temperature» was in the third place. As the dependent measure in these areas there are three kind of temperature. The comparison shows that among the binary relations between the three temperatures, the average temperature on the maximum air temperature in the surface layer of the atmosphere has the greatest influence on the correlation coefficient 0.9765. At the same time, all six equations refer to strong connections, so there is a high quantum certainty between the three types of temperature. But when predicting the most meaningful essence showed the maximum temperature.

scholarly journals Assessment of the Relationship between Cerebrospinal Meningitis and Climate Variables in Kaduna State, Nigeria

2021 ◽  
pp. 33-41
Author(s):  
Joyce Imara Nchom ◽  
A. S. Abubakar ◽  
F. O. Arimoro ◽  
B. Y. Mohammed
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Linear Trend ◽  
Pearson Correlation ◽  
Maximum Temperature ◽  
Data Set ◽  
International Research Institute ◽  
Wind Speed Maximum ◽  
Weather Parameters ◽  
The Relationship

This study examines the relationship between Meningitis and weather parameters (air temperature, maximum temperature, relative humidity, and rainfall) in Kaduna state, Nigeria on a weekly basis from 2007–2019. Meningitis data was acquired weekly from Nigeria Centre for Disease Control (NCDC), Bureau of Statistics and weather parameters were sourced from daily satellite data set National Oceanic and Atmospheric Administration (NOAA), International Research Institute for Climate and Society (IRI). The daily data were aggregated weekly to suit the study. The data were analysed using linear trend and Pearson correlation for relationship. The linear trend results revealed a weekly decline in Cerebro Spinal Meningitis (CSM), wind speed, maximum and air temperature and an increase in relative humidity and rainfall. Generally, results reveal that the most important explanatory weather variables influencing CSM amongst the five (5) are the weekly maximum temperature and air temperature with a positive correlation of 0.768 and 0.773. This study recommends that keen interest be placed on temperature as they play an essential role in the transmission of this disease and most times aggravate the patients' condition.

scholarly journals Sezonowe zróżnicowanie temperatury wody na przykładzie wybranych rzek nizinnych Mazowsza = Seasonal differentiation of water temperature on the example of lowland Mazovian rivers

2020 ◽  
Vol 92 (3) ◽  
pp. 391-408
Author(s):  
Maksym Łaszewski
Keyword(s):  
Water Temperature ◽  
Correlation Coefficient ◽  
Air Temperature ◽  
Pearson Correlation ◽  
Thermal Conditions ◽  
Statistical Distribution ◽  
Maximum Temperature ◽  
Pearson Correlation Coefficient ◽  
The Relationship ◽  
Ward Method

Thermal regime has a critical impact on the lotic environment, as maximum temperature determines the boundaries of the occurrence of aquatic species, seasonal and diurnal water temperature variations affect their bioenergetics, while the timing of specific water temperature values during the year is important in the context of spawning and migrations. However, despite the great importance of water temperature studies in the context of environmental management and fisheries, as well as the development of accurate measurement techniques, such investigations have received relatively limited attention in Poland. The current study attempted to examine the seasonal differentiation of water temperature in lowland rivers. For this purpose, water temperature was recorded from the 1st of May 2015 to the 30th of April 2019 with a temporal resolution of 30-minutes. Digital temperature reorders used to make the measurements were distributed across six sites in Jeziorka, Świder and Utrata catchments located on the Mazovian Lowland and the Southern Podlachia Lowland near Warsaw. The hydrometeorological background of the water temperature monitoring was determined on the basis of data from the Warszawa-Okęcie station and water gauging stations. On the basis of the measurement data, mean, maximum, and minimum monthly water temperatures were calculated and presented on the background of the appropriate air temperature data, while statistical distribution of the 30-minute water temperature, aggregated in a monthly timescale, was presented on the box and whiskers plots. The Ward method was used to group months similar in terms of their thermal conditions, while the Pearson correlation coefficient was applied to evaluate the strength of the relationship between water and air temperature. The results indicate that the seasonal course of water temperature follows the course of air temperature, with the highest mean monthly water temperatures recorded in July, while the lowest in January. Statistical distribution analysis of water temperature in individual months and its grouping by the Ward method allowed to identify two periods characterized by relatively stable thermal conditions and two periods of dynamic changes of water temperature. In contrast to the maximum values of water temperature, which were observed in the summer as a result of intensive solar radiation and low streamflow rates, the greatest variability of water temperature, as indicated by reference to mean daily range and standard deviation, was found in the spring months, i.e. in April and May, while the lowest in winter, from December to February. The relationship between daily mean water temperature and air temperature, established with the use of the Pearson correlation coefficient on a monthly basis, was clearly stronger during the spring increase and the autumn fall of the water temperature, which can be linked with greater vulnerability to atmospheric heat fluxes. A definitely weaker relationship was found in the winter and summer months, when greater importance can be attached to other drivers of stream temperature, like the presence of ice cover, cloudiness, riparian shading, and groundwater inflows.

scholarly journals Seasonal dynamics of the cabbage armyworm (Mamestra brassicae [L.]) and the bright-line brown-eyes moth (Mamestra oleracea [L.]) in Slovenia

2014 ◽  
Vol 41 (No. 2) ◽  
pp. 80-88 ◽  
Author(s):  
M. Devetak ◽  
T. Bohinc ◽  
M. Kač ◽  
S. Trdan
Keyword(s):  
Air Temperature ◽  
Seasonal Dynamics ◽  
First Generation ◽  
Mamestra Brassicae ◽  
Average Temperature ◽  
Bright Line ◽  
Two Generations ◽  
Sum Of Effective Temperatures ◽  
Polyphagous Insect ◽  
The Relationship

The cabbage armyworm (Mamestra brassicae L.) and the bright-line brown-eyes moth (Mamestra oleracea L.) are polyphagous insect species. From 2008 to 2010, we monitored the seasonal dynamics of both pests in two locations in Slovenia, Ljubljana and the Nova Gorica region. Pheromone traps (VARL + type) were used to precisely determine the occurrence of adults, i.e., the beginning and end of generations and the peaks of the populations. This allowed us to examine the relationship between the quantity of pests, average daily air temperature and average daily precipitation. Our results established that there were two generations of Mamestra brassicae per year in both locations; however, the seasonal dynamics of Mamestra oleracea was not as clear due to low trap catch. During 2008–2010 in Ljubljana, the average temperature during the peaks of the first generation of M. brassicae ranged from 16–19°C (sum of effective temperatures (SET) from 250°C to 375°C) and 20°C (SET from 986°C to 1,290°C) during the peaks of the second generation. We found no correlation between the average number of cabbage armyworm adults during the peaks of both generations and the mean air temperature 35 and 70 days prior to the peaks.  

scholarly journals Relationship between Weather Variables and New Daily COVID-19 Cases in Dhaka, Bangladesh

2020 ◽  
Vol 12 (20) ◽  
pp. 8319
Author(s):  
M. Mofijur ◽  
I.M. Rizwanul Fattah ◽  
A.B.M. Saiful Islam ◽  
M.N. Uddin ◽  
S.M. Ashrafur Rahman ◽  
...  
Keyword(s):  
Air Quality ◽  
Minimum Temperature ◽  
Rank Correlation ◽  
Maximum Temperature ◽  
Weather Variables ◽  
Strong Negative Correlation ◽  
Average Temperature ◽  
Climate Indicators ◽  
The Relationship ◽  
Spearman Rank Correlation Test

The present study investigated the relationship between the transmission of COVID-19 infections and climate indicators in Dhaka, Bangladesh, using coronavirus infections data available from the Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh. The Spearman rank correlation test was carried out to study the association of seven climate indicators, including humidity, air quality, minimum temperature, precipitation, maximum temperature, mean temperature, and wind speed with the COVID-19 outbreak in Dhaka, Bangladesh. The study found that, among the seven indicators, only two indicators (minimum temperature and average temperature) had a significant relationship with new COVID-19 cases. The study also found that air quality index (AQI) had a strong negative correlation with cumulative cases of COVID-19 in Dhaka city. The results of this paper will give health regulators and policymakers valuable information to lessen the COVID-19 spread in Dhaka and other countries around the world.

The Effect of Additives on the Crystallization PCM CaCl2.6H2O for Stabilizing the Air Temperature for Energy Conservation

2015 ◽  
Vol 1112 ◽  
pp. 563-566 ◽  
Author(s):  
Nia Kurniati ◽  
Ivylentine Datu Palittin ◽  
I.M. Sutjahja ◽  
Daniel Kurnia
Keyword(s):  
Energy Conservation ◽  
Latent Heat ◽  
Air Temperature ◽  
Electrical Energy ◽  
Maximum Temperature ◽  
Negative Effects ◽  
Latent Heat Storage ◽  
Average Temperature ◽  
Additive Materials ◽  
Change Material

Phase Change Material (PCM) is a material that uses the phase transition properties as latent heat storage for certain application. Salt hydrate CaCl2.6H2O (melting temperature, Tm= 29°C, and melting entalphy, DH = 190 kJ/kg) is a common inorganic PCM that can be used for regulating the air temperature of the room, in order to reduce the electrical energy consumption for energy conservation. General problems of inorganic PCM, in particular during the crystallization or latent heat release, are the subcooling and phase separation effects. It is worth mentioning that understanding the crystallization of PCM is important to keep its performance for application. In this research we choose two types additive materials as nucleator to CaCl2.6H2O to overcome those two negative effects, namely Ba2CO3and K2CO3. We also study the amount of additives needed for effective reduction of subcooling and its phase stability by performing the cycling process. The average temperature and maximum temperature of the subcooling will be determined from temperature vs time recording.

scholarly journals Relationship between Climate Variables and New Daily COVID-19 Cases in Dhaka, Bangladesh

2020 ◽  
Author(s):  
M. Mofijur ◽  
Islam Md Rizwanul Fattah ◽  
A. B. M. Saiful Islam ◽  
S.M. Ashrafur Rahman ◽  
Mohammad Asaduzzaman Chowdhury
Keyword(s):  
Air Quality ◽  
Wind Speed ◽  
Minimum Temperature ◽  
Maximum Temperature ◽  
Dhaka City ◽  
Climate Variables ◽  
Average Temperature ◽  
Climate Indicators ◽  
The World ◽  
The Relationship

The present study investigates the relationship between the transmission of COVID-19 infections and climate indicators in Dhaka City, Bangladesh, using coronavirus infections data available from the Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh. The Spearman-ranked correlation test was carried out to study the association of seven climate indicators, including humidity, air quality, minimum temperature, precipitation, maximum temperature, mean temperature and wind speed with the COVID-19 outbreak in Dhaka City, Bangladesh. The study found that, among the seven indicators, only three indicators (air quality, minimum temperature and average temperature) have a significant relationship with new COVID-19 cases. The results of this paper will give health regulators and policymakers valuable information to lessen the COVID-19 infection in Dhaka and other countries around the world.

scholarly journals The effect of artificial forest plantations on the thermophysical properties of chernozems

2019 ◽  
Vol 30 (1) ◽  
pp. 33-38
Author(s):  
V. A. Gorban
Keyword(s):  
Thermal Conductivity ◽  
Heat Capacity ◽  
Thermal Diffusivity ◽  
Air Temperature ◽  
Thermophysical Properties ◽  
Soil Surface ◽  
Maximum Temperature ◽  
Ordinary Chernozem ◽  
Forest Plantations ◽  
Average Temperature

As a result of a study of the effect of artificial forest plantations formed by Robinia pseudoacacia L. and Quercus robur L., on the thermophysical features of the chernozems of the Komissarovsky reserve (Pyatykhatsky district, Dnepropetrovsk region, Ukraine), it was found that the stand of robinia reduced air temperature by 4, 5 °С, oak – by 9.4 °С in comparison with the open area. The maximum temperature of the soil surface is found in ordinary chernozem. The effect of robinia plantation manifested itself in the form of a decrease in the temperature of the soil surface by 5.4 °C, and the oak surface by 8.0 °C. The maximum soil temperature at a depth of 50 cm is also found in ordinary chernozem. At the same depth, the soil under robinia plantation turned out to be 7.6 °C, under oak – 6.9 °C colder. According to the average temperature of the 50-centimeter layer of all the studied soils, ordinary chernozem is distinguished, the soils under the plantations almost do not differ according to this indicator. The smallest difference between the air temperature and the average temperature of the soil layer 0–50 cm was in the soil under oak plantation, the largest – in the soil under robinia plantation. The smallest difference between the temperature of the soil surface and at a depth of 50 cm was found in the soil under oak plantation, and the greatest difference in the soil under robinia plantations. Based on the analysis of the results obtained, an assumption was made about the thermal features of the upper horizons, which fall within the interval of 0–50 cm, of each of the three studied soils. The soil under robinia plantation is characterized by maximum values of thermal diffusivity, and ordinary chernozem – minimal. The soil under the oak plantation occupies an intermediate value for this indicator. Ordinary chernozem is characterized by maximum values of heat capacity, slightly smaller values are characteristic of soil for robinia plantations. The minimum values of heat capacity are characteristic of oak plantation soil. The soil under robinia plantation is sharply distinguished by the maximum values of thermal conductivity compared to ordinary chernozem and the soil under oak planting. The actual study of thermophysical properties confirmed the correctness of the assumption in only one of the three indicators for each of the studied soils. This indicates a significant limitation of predicting the thermophysical indicators of soils, based only on measuring their temperature. The influence of robinia plantation on the thermal physical properties of ordinary chernozems is manifested in an increase in their thermal diffusivity and thermal conductivity, as well as in a certain decrease in heat capacity. The influence of oak stands is characterized by an increase in thermal diffusivity and heat capacity, as well as a decrease in thermal conductivity of ordinary chernozem.

scholarly journals The Effect of Temperature Upon Transmission Of COVID-19 : Australia And Egypt Case Study

2020 ◽  
Author(s):  
Adly Anis
Keyword(s):  
Air Temperature ◽  
Effect Of Temperature ◽  
Average Temperature ◽  
Monthly Temperature ◽  
Virus Activity ◽  
The Relationship ◽  
Transmission Speed

Abstract Background: Several previous studies have recognized the effect of air temperature on the survival and transmission of viruses and germs. The current study investigated the effect of air temperature on the transmission of coronavirus covid-19 by monthly temperature averages maps analyzing.Methods: The study demonstrated the relationship between temperature and transmission speed of Covid-19 virus, It confirmed that the most appropriate average temperature for virus activity and transmission ranges between 13-24 ° C, by analyzing the maps of monthly temperature averages in Egypt and Australia.Results: The study reached, through cartographic analysis, to confirm the relationship between temperature and increase in the number of confirmed cases of covid-19, This study confirmed that the most appropriate average temperature for virus activity and transmission ranges between 13-24 ° C, by analyzing the maps of monthly temperature averages in Egypt and Australia.Conclusions: Results support that the most appropriate average temperature for the survival transmission of COVID-19 ranges between 13-24 ° C. Australia and Egypt are models to confirm the relationship between temperature and COVID-19 activity and spread.

scholarly journals The Effect of Temperature Upon Transmission Of COVID-19 Australia And Egypt Case Study.

2020 ◽  
Author(s):  
Adly Anis
Keyword(s):  
Air Temperature ◽  
Social Distance ◽  
Close Contact ◽  
Effect Of Temperature ◽  
Average Temperature ◽  
Monthly Temperature ◽  
Virus Activity ◽  
The Relationship ◽  
Transmission Speed

Abstract BackgroundSeveral previous studies have recognized the effect of air temperature on the survival and transmission of viruses and germs. The current study investigated the effect of air temperature on the transmission of coronavirus covid-19 by monthly temperature averages maps analyzing.MethodsThe study demonstrated the relationship between temperature and transmission speed of Covid-19 virus, It confirmed that the most appropriate average temperature for virus activity and transmission ranges between 13-24 ° C, by analyzing the maps of monthly temperature averages in Egypt and Australia.ResultsThe study reached, through cartographic analysis, to confirm the relationship between temperature and increase in the number of confirmed cases of covid-19, This study confirmed that the most appropriate average temperature for virus activity and transmission ranges between 13-24 ° C, by analyzing the maps of monthly temperature averages in Egypt and Australia. But the effect of the climate does not prevent the virus from being transmitted from one person to another through close contact or use of personal tools infected with the Corona virus, or crowding in air-conditioned places.Therefore, failure of individuals to follow the instructions for social distance and wearing a mask will lead to the transmission of the virus, even in hot climates.ConclusionsResults support that the most appropriate average temperature for the survival transmission of COVID-19 ranges between 13-24 ° C. Australia and Egypt are models to confirm the relationship between temperature and COVID-19 activity and spread.

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